Seong-Eun Moon

466 citations
21 papers · 291 · h-index 7

Impact in

Papers in

Seong-Eun Moon

20 papers receiving 280 citations

Peers

Seong-Eun Moon
Comparison fields: 5 of 53
  • Cognitive Neuroscience 205
  • Experimental and Cognitive Psychology 132
  • Human-Computer Interaction 46
  • Health Informatics 3
  • Health Information Management 7
Replace Zhipeng He with:
Zhipeng He China
Morteza Zangeneh Soroush Iran
Ruoyu Du China
Nazmi Sofian Suhaimi Malaysia
Hubert Banville Canada
Martin Ragot France
Siddharth Siddharth United States
Hisham Alwanni Germany
Qiuhao Zeng Singapore
A. Saidatul Malaysia
Seong-Eun Moon relative to Zhipeng He China Zhipeng He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Seong-Eun Moon

Since Specialization
Citations

This map shows the geographic impact of Seong-Eun Moon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Seong-Eun Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong-Eun Moon more than expected).

Fields of papers citing papers by Seong-Eun Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong-Eun Moon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seong-Eun Moon. The network helps show where Seong-Eun Moon may publish in the future.

Co-authors

The 17 scholars most cited alongside Seong-Eun Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seong-Eun Moon Line = papers co-authored together Seong-Eun Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 202074
3 201637
4 201917
5 202315
6 202114
7 20168
8 20155
9 20174
10 20153
11 20133
12 20202
13 20182
14 20222
15
Graph Signal Representation of EEG for Graph Convolutional Neural Network
20182
16 20141
17 20201
18 20151
19 20221
20
Learning cross-regional dependence of EEG with convolutional neural networks for emotion classification
20181

About Seong-Eun Moon

Seong-Eun Moon is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology, having authored 21 papers that have together received 291 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (4 papers), Color perception and design (3 papers), Neural Networks and Applications (3 papers), Image and Video Quality Assessment (3 papers), Emotion and Mood Recognition (3 papers), Visual perception and processing mechanisms (3 papers) and Spatial Cognition and Navigation (2 papers). The work is most often cited by research in Cognitive Neuroscience (205 citations), Experimental and Cognitive Psychology (132 citations), Human-Computer Interaction (46 citations), Health Informatics (3 citations) and Health Information Management (7 citations). Seong-Eun Moon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jong‐Seok Lee, Cho‐Jui Hsieh, Jane-Ling Wang, Junhyuk Kim, Sunwook Kim, Jooyeon Lee, Manri Cheon, Edward Choi, Louis Atallah and Young‐Hak Kim. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE Journal of Biomedical and Health Informatics, Neural Networks, IEEE Transactions on Multimedia and Lecture notes in computer science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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